CHEN ZHIYUAN

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Van-Khoa D. LeUniversity of NottinghamVerified email at nottingham.edu.my
Amril NaziranalyticrayVerified email at analyticray.com
Jiang FengHarbin Institute of TechnologyVerified email at hit.edu.cn
Chunzhi YiSchool of Medicine and Health, Harbin Institute of TechnologyVerified email at hit.edu.cn
Tomas MaulAssociate Professor of Computer Science, University of Nottingham Malaysia CampusVerified email at nottingham.edu.my
Ettikan Kandasamy KaruppiahNvidia, MIMOS, Panasonic, Intel, NTTVerified email at nvidia.com
Chifu YangAssociate Prof. of Mechatronics Engn., Harbin Inst Technol., Harbin 150001. cfyang1008@gmail.comVerified email at columbia.edu
Wei Xiang LimPh.D. in Computer ScienceVerified email at nottingham.edu.my
Zhen DingHarbin Institute of TechnologyVerified email at stu.hit.edu.cn
Peter BlanchfieldAssociate Professor of Computer Science, University of Nottingham Verified email at cs.nott.ac.uk
Waleed Mahmoud SolimanAgricultural Economics Research Institute Egypt; University of NottinghamVerified email at nottingham.edu.my
Seungmin RhoDepartment of Industrial Security, Chung-Ang University, KoreaVerified email at cau.ac.kr
Senthil Kumar ArumugasamyUniversity of Nottingham Malaysia CampusVerified email at nottingham.edu.my
Poh Phaik EongMonash University MalaysiaVerified email at monash.edu
Wei ZhangHarbin Institute of TechnologyVerified email at stu.hit.edu.cn
Dr Mehdi MaqboolDepartment of Horticulture, University of Poonch RawalakotVerified email at upr.edu.pk
Ebrahim JahanshiriCrops For the Future, NIAB, Cambridge, UKVerified email at cffinternational.com
Mei Shin OhVerified email at caditglobal.com
Irene Chew Mei LengMonash University MalaysiaVerified email at monash.edu
Tan JullyMonash University MalaysiaVerified email at monash.edu

CHEN ZHIYUAN

Associate Professor, School of Computer Science, University of Nottingham, Malaysia Campus

Verified email at nottingham.edu.my - Homepage

Machine Learning Anomaly Detection Intelligent Agriculture AI in Chemical Engineering Exoskeletons


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Machine learning techniques for anti-money laundering (AML) solutions in suspicious transaction detection: a review Z Chen, LD Van Khoa, EN Teoh, A Nazir, EK Karuppiah, KS Lam Knowledge and Information Systems 57, 245-285, 2018	261	2018
Automated Agriculture Commodity Price Prediction System with Machine Learning Techniques Z Chen, HS Goh, KL Sin, K Lim, NKH Chung, XY Liew Advances in Science, Technology and Engineering Systems Journal 6 (4), 376-384, 2021	41	2021
Automated Agriculture Commodity Price Prediction System with Machine Learning Techniques Z Chen, HS Goh, KL Sin, K Lim, NKH Chung, XY Liew arXiv preprint arXiv:2106.12747, 2021	41	2021
Variational Autoencoders and Wasserstein Generative Adversarial Networks for Improving the Anti-Money Laundering Process ZY Chen, W Soliman, A Nazir, M Shorfuzzaman IEEE Access, 1-24, 2021	40	2021
The adoption of deep learning interpretability techniques on diabetic retinopathy analysis: a review WX Lim, ZY Chen, A Ahmed Medical & Biological Engineering & Computing 60 (3), 633-642, 2022	30	2022
Long Short-Term Memory Model Based Agriculture Commodity Price Prediction Application CZ Yuan, SK Ling Proceedings of the 2020 2nd International Conference on Information …, 2020	29	2020
Determining Optimal Lag Time Selection Function with Novel Machine Learning Strategies for Better Agricultural Commodity Prices Forecasting in Malaysia CZ Yuan, WW San, TW Leong Proceedings of the 2020 2nd International Conference on Information …, 2020	27	2020
Exploration of the effectiveness of expectation maximization algorithm for suspicious transaction detection in anti-money laundering Z Chen, A Nazir, EN Teoh, EK Karupiah 2014 IEEE Conference on Open Systems (ICOS), 145-149, 2014	26	2014
A object detection and tracking method for security in intelligence of unmanned surface vehicles W Zhang, X Gao, C Yang, F Jiang, Z Chen Journal of Ambient Intelligence and Humanized Computing, 1-13, 2022	23	2022
Data augmentation and machine learning techniques for control strategy development in bio-polymerization process S Wei, Z Chen, SK Arumugasamy, IML Chew Environmental Science and Ecotechnology 11, 100172, 2022	21	2022
Multi-sensors in-line inspection robot for pipe flaws detection DVK Le, Z Chen, R Rajkumar IET Science, Measurement & Technology 14 (1), 71-82, 2020	21	2020
BOD5 prediction using machine learning methods KS Ooi, ZY Chen, PE Poh, J Cui Water Supply, 2021	20	2021
Data augmentation by autoencoders for unsupervised anomaly detection K Babaei, ZY Chen, T Maul arXiv preprint arXiv:1912.13384, 2019	20	2019
Detecting and correcting IMU movements during joint angle estimation C Yi, S Rho, B Wei, C Yang, Z Ding, Z Chen, F Jiang IEEE Transactions on Instrumentation and Measurement 71, 1-14, 2022	19	2022
An economic feasibility assessment framework for underutilised crops using Support Vector Machine MS Oh, ZY Chen, E Jahanshiri, D Isa, YW Wong Computers and electronics in agriculture 168, 105116, 2020	13	2020
Detecting point outliers using prune-based outlier factor (plof) K Babaei, ZY Chen, T Maul arXiv preprint arXiv:1911.01654, 2019	13	2019
Monitoring mango fruit ripening after harvest using electronic nose (zNoseTM) technique FG Nouri, Z Chen, M Maqbool IPCBEE 65, 36-40, 2014	13	2014
A hybrid data mining and case-based reasoning user modeling system (HDCU) for monitoring and predicting of blood sugar level CZ Yuan, D Isa, P Blanchfield 2008 International Conference on Computer Science and Software Engineering 1 …, 2008	13	2008
A self-aligned method of IMU-based 3-DoF lower-limb joint angle estimation C Yi, B Wei, Z Ding, C Yang, Z Chen, F Jiang IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2022	12	2022
Prediction of biochemical oxygen demand with genetic algorithm-based support vector regression YZ Liu, Z Chen Water Quality Research Journal 58 (2), 87-98, 2023	11	2023

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